Helen is a tiny city located in the state of Georgia. With a population of 560 people and just one neighborhood, Helen is the 398th largest community in Georgia.
Helen real estate is some of the most expensive in Georgia, although Helen house values don't compare to the most expensive real estate in the U.S.
Helen is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Helen is a city of managers, service providers, and sales and office workers. There are especially a lot of people living in Helen who work in management occupations (24.50%), personal care services (21.29%), and sales jobs (13.25%).
Also of interest is that Helen has more people living here who work in computers and math than 95% of the places in the US.
Another notable thing is that Helen is an extremely popular vacation destination. A significant portion of the population is seasonal. During the vacation season, the city experiences a large influx of people who take up residence in second homes they own in the area. As the vacation season ends, the population drops again, leaving behind a substantially quieter and smaller city.
It is a fairly quiet city because there are relatively few of those groups of people who have a tendency to be noisy. (Children, for example, often can't help themselves from being noisy, and being parents ourselves, we know!) Helen has relatively few families with children living at home, and is quieter because of it. Renters and college students, for their own reasons, can also be noisy. Helen has few renters and college students. But the biggest reason it is quieter in Helen than in most places in America, is that there are just simply fewer people living here. If you think trees make good neighbors, Helen may be for you.
Being a small city, Helen does not have a public transit system used by locals to get to and from work.
The citizens of Helen are very well educated compared to the average community in the nation: 35.94% of adults in Helen have a bachelor's degree or even advanced degree.
The per capita income in Helen in 2018 was $36,178, which is wealthy relative to Georgia, and upper middle income relative to the rest of the US. This equates to an annual income of $144,712 for a family of four. However, Helen contains both very wealthy and poor people as well.
The people who call Helen home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Helen residents report their race to be White, followed by Asian. Important ancestries of people in Helen include Irish, German, English, Italian, and European.
The most common language spoken in Helen is English. Other important languages spoken here include Polish and Spanish.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2019 (latest available). Updated annually. Please note: Unemployment data updated February 2021.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
School Details | Grades | Quality Rating Compared to GA* | Quality Rating Compared to Nation* |
---|---|---|---|
Mount Yonah Elementary School
1161 Duncan Bridge Rd Sautee Nacoochee, GA 30571 |
KG-05 | ||
White County High School
2600 Highway 129 N Cleveland, GA 30528 |
09-12 | ||
White County Middle School
283 Old Blairsville Rd Cleveland, GA 30528 |
06-08 | ||
* 10 is highest |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | 54.5% | 60.3% |
FREE LUNCH ELIGIBLE | 44.0% | 55.0% |
REDUCED LUNCH ELIGIBLE | 10.5% | 5.3% |
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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